High Performance based Disease Prediction by RFNN Algorithm

Medical data mining is defined as an important research field and a large amount of data is produced everyday by medical institutes all around the world. Due to the quantum of data it becomes quite difficult to handle it properly. Therefore, it is essential to apply various concepts of data mining in processing this large amount of data to predict various types of diseases with the help of various pattern analysis techniques. This paper focuses on producing an RFNN algorithm that can be used for disease prediction and to increase the accuracy of the database system by reducing the elapsing time when compared to a K-means algorithm.